Triple

T18643332
Position Surface form Disambiguated ID Type / Status
Subject Dailymotion E455742 entity
Predicate ownedBy P347 FINISHED
Object Vivendi NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vivendi | Statement: [Dailymotion, ownedBy, Vivendi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivendi
Context triple: [Dailymotion, ownedBy, Vivendi]
  • A. Vivendi chosen
    Vivendi is a French multinational media and entertainment conglomerate known for its interests in music, television, film, publishing, and communications.
  • B. Vivendi Universal Entertainment
    Vivendi Universal Entertainment was the media and entertainment division of the French conglomerate Vivendi, encompassing film, television, and theme park assets that later became part of NBCUniversal.
  • C. Vinci SA
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • D. ED&F Man
    ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
  • E. Viacom Enterprises
    Viacom Enterprises was the television syndication and distribution arm of Viacom, responsible for licensing and distributing a wide range of TV programming before later corporate reorganizations and rebrandings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.